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针对当前多目标优化方法中存在的不足之处,提出了基于模糊推理的多目标优化方法,并详细阐述了模糊推理的过程,即包括模糊化、推理和清晰化3个过程。最后将模糊推理运用于熔融堆积成型工艺参数优化,待优化的参数为线宽补偿(A)、挤出速度(B)、填充速度(C)和层厚(D),优化的目标为加工时间(T)、尺寸精度(DE)和翘曲变形(WD)3个指标。在MATLAB模糊推理系统中进行仿真运算,得出最佳参数组合方案为A1B3C3D3,并与灰关联分析方法相比较,得出了基本一致的结论,进一步说明了该方法的有效性和实用性。
Aiming at the shortcomings of current multi-objective optimization methods, a multi-objective optimization method based on fuzzy inference is proposed. The process of fuzzy inference is elaborated in detail, including three processes of fuzzification, inference and clarity. Finally, the fuzzy inference is applied to the optimization of the process parameters of the molten accumulation process. The parameters to be optimized are the linewidth compensation (A), extrusion speed (B), filling speed (C) and layer thickness (T), dimensional accuracy (DE) and warpage (WD) three indicators. In MATLAB fuzzy inference system, the simulation results show that the optimal parameter combination scheme is A1B3C3D3. Compared with the gray relational analysis method, the conclusion is basically consistent and the validity and practicability of this method are further demonstrated.